/*
 * Copyright 2022 Deep Learning on Flink Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.flinkextended.flink.ml.operator.ops.sink;

import org.apache.flink.streaming.api.functions.sink.RichSinkFunction;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * print up stream object.
 *
 * @param <IN> up stream object class.
 */
public class LogSink<IN> extends RichSinkFunction<IN> {
    private static final Logger LOG = LoggerFactory.getLogger(LogSink.class);

    private int count = 0;

    @Override
    public void invoke(IN value, Context context) {
        count++;
        if (0 == count % 10) {
            LOG.info("LogSink:" + count + " value:" + value.toString());
        }
    }

    @Override
    public void close() {
        LOG.info("LogSink process count:" + count);
    }
}
